Optimizing recurrence prediction and risk stratification in prostate cancer using a 2.5D deep learning model: a multicenter MRI-based study

The stacked DLF model demonstrated the capability to predict early postoperative recurrence in patients with PCa and effectively identify high-risk cases, highlighting its potential as a valuable tool for optimizing treatment strategies and postoperative surveillance.